Building a Successful Career in Data Science

Employment in Data Science is projected to grow by 35% in the next 10 years. This clearly shows how a career in data science is good choice for anyone looking to venture into the data world.

In this article we will dive deep into the world of data science and how to build a successful career in this field. We will look at what data science really entails, the skills needed, education, industries where data scientists are needed, job search and many more.

What is Data Science?

Data Science is the field of study that involves collecting, analysing, and interpreting large sets of data to uncover insights, patterns and trends that can be used to make informed decisions and solve real-world problems.

Skills needed in Data Science

For one to be successful in the field of Data Science, one has to have a good understanding of different things. Some of the basic skills include;

1. Mathematics - A good understanding of probability and statistics.

2. Programming - One of the languages used is Python

3. Data Visualization - Representing complex data by plotting using matplotlib, Power Bi, Seaborn etc

For more advanced skills we need ;

1. Database Management - A good understanding of RDBMS such as MySQL, PostgreSQL etc.

2. Machine Learning - We need this skill to be able to build advanced models using tools like Scikit-Learn and PyTorch

Education background

You can learn data science through different avenues. Some of these include :

• University/Colleges -Through Bachelor's degree, Masters or PHD programs in Data Science, Computer Science, Mathematics, Statistics and many more. This way you way will get an in-depth understanding of data science and all related fields.

• Bootcamps - Bootcamps offer Data Science for a few months, These bootcamps help people completely starting out or need refresher courses on the said skill.

• Self taught - There are many online platforms i.e. Coursera, Udemy etc that offer these courses at a fee. Learning through YouTube videos is also one of the ways you can learn on your own

Fields where Data Science is used

Data Science is used in many industries including :
- Healthcare
- Finance
- Transport industry
- Gaming etc

Job Searching

After learning and gaining skills in Data Science it is now time to apply the skills in real life situations and solve problems.

The first step in job searching is having projects you have worked on and a portfolio or GitHub account. This is essential because a recruiter will be able to see the projects you have worked on and gauge your level of proficiency from that.

The next step is to tailor make your CV/Resume according to the skills you have and the job you want to apply for. Here you can start your education background, professional experience if any, projects done etc.

Last step is to go through LinkedIn and job sites and start the job hunting process. This may be the hardest part but eventually you will get a job.

Conclusion

You have come a long way from day one of deciding where to learn data science to now looking for a job. The journey might be long and hard but believe in yourself, at the end your work will speak for you. All the best!!